Conservation planners tend to ignore improved accuracy of modelled species distributions to focus on multiple threats and ecological processes

Biological Conservation

Volumn 199, Issue , 2016, Pages 157-171

  Tulloch, Ayesha I T ^a,h   Sutcliffe, Patricia ^a   Naujokaitis Lewis, Ilona ^b,j   Tingley, Reid ^c   Brotons, Lluis ^d,i   Ferraz, Katia Maria P M B ^e   Possingham, Hugh ^a,f   Guisan, Antoine ^g   Rhodes, Jonathan R ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d CENTRE TECNOLÒGIC FORESTAL DE CATALUNYA   (Spain)

^e UNIVERSITY OF SÃO PAULO   (Brazil)

^f IMPERIAL COLLEGE LONDON   (United Kingdom)

^g UNIVERSITY OF LAUSANNE   (Switzerland)

^h AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

ⁱ CREAF   (Spain)

^j CARLETON UNIVERSITY   (Canada)

more..

Author keywords

Conservation plan; Decision making; Population process modelling; Reserve selection; Spatial prioritisation; Threat map; Uncertainty

Indexed keywords

BIODIVERSITY; CLIMATE CHANGE; COMPLEXITY; CONSERVATION PLANNING; ECOLOGICAL MODELING; LANDSCAPE; LITERATURE REVIEW; MAPPING METHOD; PRIORITIZATION; SPECIES OCCURRENCE; TRADE-OFF; UNCERTAINTY ANALYSIS;

EID: 84971236573     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biocon.2016.04.023     Document Type: Review

References (157)

1. Adams V.M., Mills M., Jupiter S.D., Pressey R.L. Improving social acceptability of marine protected area networks: a method for estimating opportunity costs to multiple gear types in both fished and currently unfished areas. Biol. Conserv. 2011, 144:350-361.
2. Addison P.F.E., Rumpff L., Bau S.S., Carey J.M., Chee Y.E., Jarrad F.C., McBride M.F., Burgman M.A., Yemshanov D. Practical solutions for making models indispensable in conservation decision-making. Divers. Distrib. 2013, 19:490-502.
3. Akçakaya H.R. RAMAS/GIS: linking spatial data with population viability analysis. Version 4.0. Applied Biomathematics 2002, Setauket, New York.
4. Akcakaya R.H., Regan H.M. Population models: individual-based. Ecological Modeling in Risk Assessment: Chemical Effects on Populations, Ecosystems and Landscapes 2002, 83-95. Lewis Publishers, Boca Raton, FL. S.M.B.R.A. Pastorok, S. Ferson, L.R. Ginzburg (Eds.).
5. Araujo M.B., Guisan A. Five (or so) challenges for species distribution modelling. J. Biogeogr. 2006, 33:1677-1688.
6. Araujo M.B., New M. Ensemble forecasting of species distributions. Trends Ecol. Evol. 2007, 22:42-47.
7. Araujo M.B., Thuiller W., Williams P.H., Reginster I. Downscaling European species atlas distributions to a finer resolution: implications for conservation planning. Glob. Ecol. Biogeogr. 2005, 14:17-30.
8. Araújo M.B., Alagador D., Cabeza M., Nogués-Bravo D., Thuiller W. Climate change threatens European conservation areas. Ecol. Lett. 2011, 14:484-492.
9. Arponen A., Lehtomäki J., Leppänen J., Tomppo E., Moilanen A. Effects of connectivity and spatial resolution of analyses on conservation prioritization across large extents. Conserv. Biol. 2012, 26:294-304.
10. Auerbach N.A., Tulloch A.I.T., Possingham H.P. Informed actions: where to cost effectively manage multiple threats to species to maximize return on investment. Ecol. Appl. 2014, 24:1357-1373.
11. Austin M.P., Van Niel K.P. Improving species distribution models for climate change studies: variable selection and scale. J. Biogeogr. 2011, 38:1-8.
12. Austin M. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecol. Model. 2007, 200:1-19.
13. Avon Catchment Council Durokoppin nature reserve. Mygalomorphae Conservation Plan 2007, Avon Catchment Council.
14. Bailey H., Thompson P.M. Using marine mammal habitat modelling to identify priority conservation zones within amarine protected area. Mar. Ecol. Prog. Ser. 2009, 378:279-287.
15. Balanced Seas Balanced Seas Marine Conservation Zone Project Final Recommendations 2011 2011, Balanced Seas Regional Stakeholder Group, United Kingdom.
16. Ball I.R., Possingham H.P., Watts M. Marxan and relatives: software for spatial conservation prioritisation. Spatial Conservation Prioritisation: Quantitative Methods and Computational Tools 2009, 185-195. Oxford University Press, Oxford, UK, (Chapter 14). A. Moilanen, K.A. Wilson, H.P. Possingham (Eds.).
17. Balmford A., Crane P., Dobson A., Green R.E., Mace G.M. The 2010 challenge: data availability, information needs and extraterrestrial insights. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 2005, 360:221-228.
18. Beale C.M., Lennon J.J. Incorporating uncertainty in predictive species distribution modelling. Philos. Trans. R. Soc. Lond. Ser. B Biol. Sci. 2012, 367:247-258.
19. Beaudry F., Pidgeon A.M., Mladenoff D.J., Howe R.W., Bartelt G.A., Radeloff V.C. Optimizing regional conservation planning for forest birds. J. Appl. Ecol. 2011, 48:726-735.
20. Beier P., Majka D.R., Newell S.L. Uncertainty analysis of least-cost modeling for designing wildlife linkages. Ecol. Appl. 2009, 19:2067-2077.
21. Bhagabati N., Barano T., Conte M., Ennaanay D., Hadian O., McKenzie E., Olwero N., Rosenthal A., Suparmoko, Shapiro A., Tallis H., Wolny S. A green vision for Sumatra. The Natural Capital Project, WWF-US, and WWF-Indonesia, Indonesia 2012.
22. Birdlife International Myanmar investment opportunities in biodiversity conservation. BirdLife International, With the Support of CARE Myanmar, Center for Applied Biodiversity Science - Conservation International, Critical Ecosystem Partnership Fund, the Office of the United Nations Resident Coordinator, Yangon, and the United Nations Development Programme, Yangon 2005.
23. Boakes E.H., McGowan P.J.K., Fuller R.A., Chang-qing D., Clark N.E., O'Connor K., Mace G.M. Distorted views of biodiversity: spatial and temporal bias in species occurrence data. PLoS Biol. 2010, 8:e1000385.
24. Bombi P., D'Amen M. Scaling down distribution maps from atlas data: a test of different approaches with virtual species. J. Biogeogr. 2012, 39:640-651.
25. Bonebrake T.C., Syphard A.D., Franklin J., Anderson K.E., AkÇAkaya H.R., Mizerek T., Winchell C., Regan H.M. Fire management, managed relocation, and land conservation options for long-lived obligate seeding plants under global changes in climate, urbanization, and fire regime. Conserv. Biol. 2014, 28:1057-1067.
26. Bottrill M.C., Joseph L.N., Carwardine J., Bode M., Cook C., Game E.T., Grantham H., Kark S., Linke S., McDonald-Madden E., Pressey R.L., Walker S., Wilson K.A., Possingham H.P. Finite conservation funds mean triage is unavoidable. Trends Ecol. Evol. 2009, 24:183-184.
27. Breiner F.T., Guisan A., Bergamini A., Nobis M.P. Overcoming limitations of modelling rare species by using ensembles of small models. Methods Ecol. Evol. 2015, 6:1210-1218.
28. Brotons L., Thuiller W., Araujo M.B., Hirzel A.H. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 2004, 27:437-448.
29. Cameron S.E., Williams K.J., Mitchell D.K. Efficiency and concordance of alternative methods for minimizing opportunity costs in conservation planning. Conserv. Biol. 2008, 22:886-896.
30. Cariboni J., Gatelli D., Liska R., Saltelli A. The role of sensitivity analysis in ecological modelling. Ecol. Model. 2007, 203:167-182.
31. Carvalho S.B., Brito J.C., Crespo E.G., Watts M.E., Possingham H.P. Conservation planning under climate change: toward accounting for uncertainty in predicted species distributions to increase confidence in conservation investments in space and time. Biol. Conserv. 2011, 144:2020-2030.
32. Carwardine J., O'Connor T., Legge S., Mackey B., Possingham H.P., Martin T.G. Prioritizing threat management for biodiversity conservation. Conserv. Lett. 2012, 5:196-204.
33. CEPF (Critical Ecosystem Partnership Fund) The Succulent Karoo Hotspot Namibia and South Africa 2003, Critical Ecosystem Partnership Fund.
34. Chadès I., Curtis J.M.R., Martin T.G. Setting realistic recovery targets for interacting endangered species. Conserv. Biol. 2012, 26:1016-1025.
35. Chadès I., Nicol S., van Leeuwen S., Walters B., Firn J., Reeson A., Martin T.G., Carwardine J. Benefits of integrating complementarity into priority threat management. Conserv. Biol. 2015, 29:525-536.
36. Chomitz K.M., da Fonseca G.A.B., Alger K., Stoms D.M., Honzak M., Landau E.C., Thomas T.S., Thomas W.W., Davis F. Viable reserve networks arise from individual landholder responses to conservation incentives. Ecol. Soc. 2006, 11.
37. Ciannelli L., Robson B.W., Francis R.C., Aydin K., Brodeur R.D. Boundaries of open marine ecosystems: an application to the Pribilof Archipelago, southeast Bering Sea. Ecol. Appl. 2004, 14:942-953.
38. Clark B.M., Lombard A.T. A Marine Conservation Plan for the Agulhas Bioregion: Options and Opportunities for Enhancing the Existing MPA Network 2007, WWF-SA, CAPE, Cape Nature, SA Parks, South Africa.
39. Coutts S.R., Yokomizo H. Meta-models as a straightforward approach to the sensitivity analysis of complex models. Popul. Ecol. 2014, 56:7-19.
40. Critical Ecosystem Partnership Fund (CEPF) Upper Guinean Forest Ecosystem of the Guinean Forests of West Africa Biodiversity Hotspot 2000, Critical Ecosystem Partnership Fund.
41. Critical Ecosystem Partnership Fund (CEPF) The Succulent Karoo Hotspot Namibia and South Africa 2003, Critical Ecosystem Partnership Fund.
42. Critical Ecosystem Partnership Fund (CEPF) Ecosystem Profile Easter Himalayas Region 2005, World Wildlife Fund- United States, Asia Program.
43. Delean S., Bull C.M., Brook B.W., Heard L.M.B., Fordham D.A. Using plant distributions to predict the current and future range of a rare lizard. Divers. Distrib. 2013, 19:1125-1137.
44. Department of Sustainability Environment Water Population and Communities National Recovery Plan for Threatened Albatrosses and Giant Petrels 2011-2016 2011, Commonwealth of Australia, Hobart.
45. Dudaniec R.Y., Rhodes J.R., Worthington Wilmer J., Lyons M., Lee K.E., McAlpine C.A., Carrick F.N. Using multilevel models to identify drivers of landscape-genetic structure among management areas. Mol. Ecol. 2013, 22:3752-3765.
46. Early R., Anderson B., Thomas C.D. Using habitat distribution models to evaluate large-scale landscape priorities for spatially dynamic species. J. Appl. Ecol. 2008, 45:228-238.
47. Eastern African Marine Ecoregion Programme The Eastern African Marine Ecoregion Biodiversity Conservation Strategic Framework 2005-2025 2004, World Wildlife Fund Eastern African Marine Ecoregion (EAME) Programme, Dar es Salaam, Tanzania.
48. Elith J., Burgman M.A., Regan H.M. Mapping epistemic uncertainties and vague concepts in predictions of species distribution. Ecol. Model. 2002, 157:313-329.
49. Elith J., Graham C.H. Do they? How do they? Why do they differ? On finding reasons for differing performances of species distribution models. Ecography 2009, 32:66-77.
50. Elith J., Kearney M., Phillips S. The art of modelling range-shifting species. Methods Ecol. Evol. 2010, 1:330-342.
51. Elith J., Leathwick J. Conservation prioritization using species distribution models. Spatial Conservation Prioritization: Quantitative Methods and Computational Tools 2009, Oxford University Press, Oxford. A. Moilanen, K.A. Wilson, H.P. Possingham (Eds.).
52. Elith J., Leathwick J.R. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 2009, 40:677-697.
53. Falcucci A., Ciucci P., Maiorano L., Gentile L., Boitani L. Assessing habitat quality for conservation using an integrated occurrence-mortality model. J. Appl. Ecol. 2009, 46:600-609.
54. Feinerer I., Hornik K. tm: Text Mining Package. R package version 0.6-2 http://cran.r-project.org/package=tm.
55. Ferraz K.M.P.M.B., Beisiegel B.M., De Paula R.C., Sana D.A., De Campos C.B., De Oliveira T.G., Desbiez A.L. How species distribution models can improve cat conservation-jaguars in Brazil. Cat News 2012, 7:38-42.
56. Field S.A., Tyre A.J., Thorn K.H., O'Connor P.J., Possingham H.P. Improving the efficiency of wildlife monitoring by estimating detectability: a case study of foxes (Vulpes vulpes) on the Eyre Peninsula, South Australia. Wildl. Res. 2005, 32:253-258.
57. Forbis T.A., Provencher L., Frid L., Medlyn G. Great Basin land management planning using ecological modeling. Environ. Manag. 2006, 38:62-83.
58. Francis S.R., Hamm J. Looking forward: using scenario modeling to support regional land use planning in Northern Yukon, Canada. Ecol. Soc. 2011, 16.
59. Franklin J. Moving beyond static species distribution models in support of conservation biogeography. Divers. Distrib. 2010, 16:321-330.
60. Franklin J., Regan H.M., Syphard A.D. Linking spatially explicit species distribution and population models to plan for the persistence of plant species under global change. Environ. Conserv. 2014, 41:97-109.
61. Game E.T., Watts M.E., Wooldridge S., Possingham H.P. Planning for persistence in marine reserves: a question of catastrophic importance. Ecol. Appl. 2008, 18:670-680.
62. Gobierno de Chile Regional Strategy and Action Plan for Biodiversity (BIOBIO Región) 2002, Comisión nacional del Medio Ambiente, región BIOBIO.
63. Gordon A., Simondson D., White M., Moilanen A., Bekessy S.A. Integrating conservation planning and landuse planning in urban landscapes. Landsc. Urban Plan. 2009, 91:183-194.
64. Graham C.H., Hijmans R.J. A comparison of methods for mapping species ranges and species richness. Glob. Ecol. Biogeogr. 2006, 15:578-587.
65. Grantham H.S., Wilson K.A., Moilanen A., Rebelo T., Possingham H.P. Delaying conservation actions for improved knowledge: how long should we wait?. Ecol. Lett. 2009, 12:293-301.
66. Greenville A.C., Wardle G.M., Tamayo B., Dickman C.R. Bottom-up and top-down processes interact to modify intraguild interactions in resource-pulse environments. Oecologia 2014, 175:1349-1358.
67. Greenwald D.N., Bradley C. Assessing protection for imperiled species of Nevada, USA: are species slipping through the cracks of existing protections?. Biodivers. Conserv. 2008, 17:2951-2960.
68. Grün B., Hornik K. Topicmodels: an R Package for fitting topic models. J. Stat. Softw. 2011, 40:1-30.
69. Guillera-Arroita G., Lahoz-Monfort J.J., Elith J., Gordon A., Kujala H., Lentini P.E., McCarthy M.A., Tingley R., Wintle B.A. Is my species distribution model fit for purpose? Matching data and models to applications. Glob. Ecol. Biogeogr. 2015, 24:276-292.
70. Guisan A., Graham C.H., Elith J., Huettmann F. Sensitivity of predictive species distribution models to change in grain size. Divers. Distrib. 2007, 13:332-340.
71. Guisan A., Thuiller W. Predicting species distribution: offering more than simple habitat models. Ecol. Lett. 2005, 8:993-1009.
72. Guisan A., Tingley R., Baumgartner J.B., Naujokaitis-Lewis I., Sutcliffe P.R., Tulloch A.I.T., Regan T.J., Brotons L., McDonald-Madden E., Mantyka-Pringle C., Martin T.G., Rhodes J.R., Maggini R., Setterfield S.A., Elith J., Schwartz M.W., Wintle B.A., Broennimann O., Austin M., Ferrier S., Kearney M.R., Possingham H.P., Buckley Y.M. Predicting species distributions for conservation decisions. Ecol. Lett. 2013, 16:1424-1435.
73. Harrell F.E. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis 2001, Springer-Verlag, New York, USA.
74. Hastie T., Fithian W. Inference from presence-only data; the ongoing controversy. Ecography 2013, 36:864-867.
75. Hermoso V., Kennard M.J. Uncertainty in coarse conservation assessments hinders the efficient achievement of conservation goals. Biol. Conserv. 2012, 147:52-59.
76. Hernandez P.A., Graham C.H., Master L.L., Albert D.L. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
77. IUCN IUCN Red List of Threatened Species 2008, IUCN, Gland, Switzerland, and Cambridge, United Kingdom.
78. Iwamura T., Possingham H.P., Chadès I., Minton C., Murray N.J., Rogers D.I., Treml E.A., Fuller R.A. Migratory connectivity magnifies the consequences of habitat loss from sea-level rise for shorebird populations. Proc. R. Soc. B Biol. Sci. 2013, 280.
79. Kearney M., Porter W. Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecol. Lett. 2009, 12:334-350.
80. Keel S. Caribbean Ecoregional Assessment Puerto Rico 2005, The Nature Conservancy, U.S.A.
81. Keith D.A., Akçakaya H.R., Thuiller W., Midgley G.F., Pearson R.G., Phillips S.J., Regan H.M., Araújo M.B., Rebelo T.G. Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models. Biol. Lett. 2008, 4:560-563.
82. Klein C., Wilson K., Watts M., Stein J., Berry S., Carwardine J., Smith M.S., Mackey B., Possingham H. Incorporating ecological and evolutionary processes into continental-scale conservation planning. Ecol. Appl. 2009, 19:206-217.
83. Kramer P.A., Kramer P.R. Ecoregional Conservation Planning for the Mesoamerican Caribbean Reef 2002, World Wildlife Fund, U.S.A.
84. Kujala H., Moilanen A., Araújo M.B., Cabeza M. Conservation planning with uncertain climate change projections. PLoS One 2013, 8:e53315.
85. Leroux S.J., Schmiegelow F.K.A., Cumming S.G., Lessard R.B., Nagy J. Accounting for system dynamics in reserve design. Ecol. Appl. 2007, 17:1954-1966.
86. Liu C., Berry P.M., Dawson T.P., Pearson R.G. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 2005, 28:385-393.
87. Lobo J.M., Jiménez-Valverde A., Hortal J. The uncertain nature of absences and their importance in species distribution modelling. Ecography 2010, 33:103-114.
88. Loiselle B.A., Howell C.A., Graham C.H., Goerck J.M., Brooks T., Smith K.G., Williams P.H. Avoiding pitfalls of using species distribution models in conservation planning. Conserv. Biol. 2003, 17:1591-1600.
89. Lomba A., Pellissier L., Randin C., Vicente J., Moreira F., Honrado J., Guisan A. Overcoming the rare species modelling paradox: a novel hierarchical framework applied to an Iberian endemic plant. Biol. Conserv. 2010, 143:2647-2657.
90. Lombard A.T., Cowling R.M., Vlok J.H.J., Fabricius C. Designing conservation corridors in production landscapes: assessment methods, implementation issues, and lessons learned. Ecol. Soc. 2010, 15.
91. Loyola R.D., de Oliveira G., Diniz-Filho J.A.F., Lewinsohn T.M. Conservation of Neotropical carnivores under different prioritization scenarios: mapping species traits to minimize conservation conflicts. Divers. Distrib. 2008, 14:949-960.
92. Makino A., Klein C.J., Beger M., Jupiter S.D., Possingham H.P. Incorporating conservation zone effectiveness for protecting biodiversity in marine planning. PLoS One 2013, 8:e78986.
93. Margules C.R., Pressey R.L. Systematic conservation planning. Nature (London) 2000, 405:243-253.
94. Marini M.A., Barbet-Massin M., Lopes L.E., Jiguet F. Major current and future gaps of Brazilian reserves to protect neotropical savanna birds. Biol. Conserv. 2009, 142:3039-3050.
95. Maxwell S.L., Rhodes J.R., Runge M.C., Possingham H.P., Ng C.F., McDonald-Madden E. How much is new information worth? Evaluating the financial benefit of resolving management uncertainty. J. Appl. Ecol. 2015, 52:12-20.
96. McAlpine C.A., Rhodes J.R., Bowen M.E., Lunney D., Callaghan J.G., Mitchell D.L., Possingham H.P. Can multiscale models of species' distribution be generalized from region to region? A case study of the koala. J. Appl. Ecol. 2008, 45:558-567.
97. McClintock B.T., Bailey L.L., Pollock K.H., Simons T.R. Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detections. Ecology 2010, 91:2446-2454.
98. McMahon S.M., Diez J.M. Scales of association: hierarchical linear models and the measurement of ecological systems. Ecol. Lett. 2007, 10:437-452.
99. Merow C., Smith M.J., Edwards T.C., Guisan A., McMahon S.M., Normand S., Thuiller W., Wüest R.O., Zimmermann N.E., Elith J. What do we gain from simplicity versus complexity in species distribution models?. Ecography 2014, 37:1267-1281.
100. Moilanen A., Meller L., Leppanen J., Pouzols F., Arponen A., Kujala H. Spatial conservation planning framework and software zonation. Version 3.1. User Manual 2012, University of Helsinki, Department of Bioscience, Helsinki.
101. Moilanen A., Runge M.C., Elith J., Tyre A., Carmel Y., Fegraus E., Wintle B.A., Burgman M., Ben-Haim Y. Planning for robust reserve networks using uncertainty analysis. Ecol. Model. 2006, 199:115-124.
102. Moilanen A., Wilson K., Possingham H.P. Spatial Conservation Prioritization: Quantitative Methods and Computational Tools 2009, Oxford University Press, New York.
103. Moilanen A., Wintle B.A., Elith J., Burgman M. Uncertainty analysis for regional-scale reserve selection. Conserv. Biol. 2006, 20:1688-1697.
104. Morato R.G., Ferraz K.M.P.M.B., de Paula R.C., Campos C.B.d. Identification of priority conservation areas and potential corridors for jaguars in the Caatinga Biome, Brazil. PLoS One 2014, 9:e92950.
105. Morgan L., Maxwell S., Tsao F., Wilkinson T.A.C., Etnoyer P. Marine Priority Conservation Areas: Baja California to the Bering Sea 2005, Commission for Environmental Cooperation of North America and the Marine Conservation Biology Institute, Montreal, Canada.
106. Murray J.V., Goldizen A.W., O'Leary R.A., McAlpine C.A., Possingham H.P., Choy S.L. How useful is expert opinion for predicting the distribution of a species within and beyond the region of expertise? A case study using brush-tailed rock-wallabies Petrogale penicillata. J. Appl. Ecol. 2009, 46:842-851.
107. Myers N., Mittermeier R.A., Mittermeier C.G., da Fonseca G.A.B., Kent J. Biodiversity hotspots for conservation priorities. Nature 2000, 403:853-858.
108. Naujokaitis-Lewis I.R., Curtis J.M.R., Tischendorf L., Badzinski D., Lindsay K., Fortin M.-J. Uncertainties in coupled species distribution-metapopulation dynamics models for risk assessments under climate change. Divers. Distrib. 2013, 19:541-554.
109. NZ Government Northland Conservation Management Strategy 2000, New Zealand (NZ) Government, New Zealand.
110. Ong P.S., Afuang L.E., Rosell-Ambal R.G. Philippine Biodiversity Conservation Priorities: a Second Iteration of the National Biodiversity Straegy and Action Plan 2002, Department of Environment and Natural Resources- Protected Areas and Wildlife Bureau, Conservation International Philippines, Biodiversity Conservation Program- University of the Philippines Center for Integrative and Development Studies, and Foundation for the Philippine Government, Quezon City, Philippines.
111. Pascual-Hortal L., Saura S. Impact of spatial scale on the identification of critical habitat patches for the maintenance of landscape connectivity. Landsc. Urban Plan. 2007, 83:176-186.
112. Pawar S., Koo M.S., Kelley C., Ahmed M.F., Chaudhuri S., Sarkay S. Conservation assessment and prioritization of areas in Northeast India: priorities for amphibians and reptiles. Biol. Conserv. 2007, 136:346-361.
113. Peralvo M., Sierra R., Young K.R., Ulloa-Ulloa C. Identification of biodiversity conservation priorities using predictive modeling: an application for the equatorial pacific region of South America. Biodivers. Conserv. 2007, 16:2649-2675.
114. Peterson A.T., Soberón J., Pearson R.G., Anderson R.P., Martínez-Meyer E., Nakamura M., Araújo M.B. Ecological Niches and Geographic Distributions 2011, Princeton University Press.
115. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol. Model. 2006, 190:231-259.
116. Phillips S.J., Dudik M., Elith J., Graham C.H., Lehmann A., Leathwick J., Ferrier S. Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. Ecol. Appl. 2009, 19:181-197.
117. Phillips S.J., Elith J. On estimating probability of presence from use-availability or presence-background data. Ecology 2013, 94:1409-1419.
118. Possingham H.P., Franklin J., Wilson K., Regan T.J. The roles of spatial heterogeneity and ecological processes in conservation planning. Ecosystem Function in Heterogeneous Landscapes 2005, 389-406. Springer-Verlag, New York, USA. G.M. Lovett, C.G. Jones, M.G. Turner, K.C. Weathers (Eds.).
119. Pourebrahim S., Hadipour M., Bin Mokhtar M. Integration of spatial suitability analysis for land use planning in coastal areas; case of Kuala Langat District, Selangor, Malaysia. Landsc. Urban Plan. 2011, 101:84-97.
120. Pressey R.L., Cowling R.M., Rouget M. Formulating conservation targets for biodiversity pattern and process in the Cape Floristic Region, South Africa. Biol. Conserv. Restor. Sustain. 2003, 112:99-127.
121. Randin C.F., Dirnböck T., Dullinger S., Zimmermann N.E., Zappa M., Guisan A. Are niche-based species distribution models transferable in space?. J. Biogeogr. 2006, 33:1689-1703.
122. Recatalá Boix L., Zinck J.A. Land-use planning in the Chaco plain (Burruyacú, Argentina): part 2: generating a consensus plan to mitigate land-use conflicts and minimize land degradation. Environ. Manag. 2008, 42:200-209.
123. Reddy S., Dávalos L.M. Geographical sampling bias and its implications for conservation priorities in Africa. J. Biogeogr. 2003, 30:1719-1727.
124. Reimaan National Planning Team Reimaanlok: National Conservation Area Plan for the Marshall Islands 2007-2012 2008, Australian Government (DEWHA), Melbourne.
125. Rondinini C., Wilson K.A., Boitani L., Grantham H., Possingham H.P. Tradeoffs of different types of species occurrence data for use in systematic conservation planning. Ecol. Lett. 2006, 9:1136-1145.
126. Rottenberg A., Parker J.S. Conservation of the critically endangered Rumex rothschildianus as implied from AFLP diversity. Biol. Conserv. 2003, 114:299-303.
127. Roura-Pascual N., Krug R.M., Richardson D.M., Hui C. Spatially-explicit sensitivity analysis for conservation management: exploring the influence of decisions in invasive alien plant management. Divers. Distrib. 2010, 16:426-438.
128. Runting R.K., Wilson K.A., Rhodes J.R. Does more mean less? The value of information for conservation planning under sea level rise. Glob. Chang. Biol. 2013, 19:352-363.
129. Saltelli A., Ratto M., Tarantola S., Campolongo F. Sensitivity analysis practices: strategies for model-based inference. Reliab. Eng. Syst. Saf. 2006, 91:1109-1125.
130. Santika T., McAlpine C.A., Lunney D., Wilson K.A., Rhodes J.R. Assessing spatio-temporal priorities for species' recovery in broad-scale dynamic landscapes. J. Appl. Ecol. 2015, 52:832-840.
131. Scoble J., Lowe A.J. A case for incorporating phylogeography and landscape genetics into species distribution modelling approaches to improve climate adaptation and conservation planning. Divers. Distrib. 2010, 16:343-353.
132. Sinclair S.J., White M.D., Newell G.R. How useful are species distribution models for managing biodiversity under future climates?. Ecol. Soc. 2010, 15:8. ([online] URL: http://www.ecologyandsociety.org/vol15/iss11/art18/).
133. Smith C.S., Howes A.L., Price B., McAlpine C.A. Using a Bayesian belief network to predict suitable habitat of an endangered mammal - the Julia Creek dunnart (Sminthopsis douglasi). Biol. Conserv. 2007, 139:333-347.
134. Smith R.J., Leader-Williams N. The Maputaland Conservation Planning System and Conservation Assessment 2006, Durrell Institute of Conservation and Ecology (DICE), University of Kent, Canterbury.
135. Spalding M.D., Fox H.E., Allen G.R., Davidson N., Ferdaña Z.A., Finlayson M.A.X., Halpern B.S., Jorge M.A., Lombana A.L., Lourie S.A., Martin K.D., McManus E., Molnar J., Recchia C.A., Robertson J. Marine ecoregions of the world: a bioregionalization of coastal and shelf areas. Bioscience 2007, 57:573-583.
136. Stralberg D., Applegate D.L., Phillips S.J., Herzog M.P., Nur N., Warnock N. Optimizing wetland restoration and management for avian communities using a mixed integer programming approach. Biol. Conserv. 2009, 142:94-109.
137. Stralberg D., Cameron D.R., Reynolds M.D., Hickey C.M., Klausmeyer K., Busby S.M., Stenzel L.E., Shuford W.D., Page G.W. Identifying habitat conservation priorities and gaps for migratory shorebirds and waterfowl in California. Biodivers. Conserv. 2011, 20:19-40.
138. Terribile L.C., De Oliveira G., Albuquerque F., Rodríguez M.Á., Diniz-Filho J.A.F. Global conservation strategies for two clades of snakes: combining taxon-specific goals with general prioritization schemes. Divers. Distrib. 2009, 15:841-851.
139. The Nature Conservancy Alaskan Marine Arctic Conservation Action Plan 2010, The Nature Conservancy.
140. Thorne J.H., Huber P.R., Girvetz E.H., Quinn J., McCoy M.C. Integration of regional mitigation assessment and conservation planning. Ecol. Soc. 2009, 14.
141. Thuiller W., Brotons L., Araujo M.B., Lavorel S. Effects of restricting environmental range of data to project current and future species distributions. Ecography 2004, 27:165-172.
142. Tognelli M.F., de Arellano P.I.R., Marquet P.A. How well do the existing and proposed reserve networks represent vertebrate species in Chile?. Divers. Distrib. 2008, 14:148-158.
143. Tulloch A.I.T., Chadès I., Possingham H.P. Accounting for complementarity to maximize monitoring power for species management. Conserv. Biol. 2013, 27:988-999.
144. Tulloch A.I.T., Szabo J.K. A behavioural ecology approach to understand volunteer surveying for citizen science datasets. Emu 2012, 112:313-325.
145. Tulloch A.I.T., Tulloch V.J.D., Evans M.C., Mills M. The value of using feasibility models in systematic conservation planning to predict landholder management uptake. Conserv. Biol. 2014, 28:1462-1473.
146. Tulloch V.J., Possingham H.P., Jupiter S.D., Roelfsema C., Tulloch A.I.T., Klein C.J. Incorporating uncertainty associated with habitat data in marine reserve design. Biol. Conserv. 2013, 162:41-51.
147. Tulloch V.J.D., Tulloch A.I.T., Visconti P., Halpern B.S., Watson J.E.M., Evans M.C., Auerbach N.A., Barnes M., Beger M., Chadès I., Giakoumi S., McDonald-Madden E., Murray N.J., Ringma J., Possingham H.P. Why do we map threats? Linking threat mapping with actions to make better conservation decisions. Front. Ecol. Environ. 2015, 13:91-99.
148. Underwood J.G., Francis J., Gerber L.R. Incorporating biodiversity conservation and recreational wildlife values into smart growth land use planning. Landsc. Urban Plan. 2011, 100:136-143.
149. Von Hase A., Rouget M., Maze K., Helme N. A Fine-scale Conservation Plan for Cape Lowlands Renosterfeld: Technical Report. Report CCU 2/03 2003, Cape Conservation Unit, National Botanical Institute of South Africa, Cape Town.
150. Watts M.E., Ball I.R., Stewart R.S., Klein C.J., Wilson K., Steinback C., Lourival R., Kircher L., Possingham H.P. Marxan with zones: software for optimal conservation based land- and sea-use zoning. Environ. Model. Softw. 2009, 1-9.
151. Wenger S.J., Olden J.D. Assessing transferability of ecological models: an underappreciated aspect of statistical validation. Methods Ecol. Evol. 2012, 3:260-267.
152. Westgate M.J., Barton P.S., Pierson J.C., Lindenmayer D.B. Text analysis tools for identification of emerging topics and research gaps in conservation science. Conserv. Biol. 2015, 29:1606-1614.
153. An Ecoregional Conservation Plan for the Caucasus 2006, World Wildlife Fund Caucasus Programme Office, Georgia. L. Williams (Ed.).
154. Wilson K.A., Carwardine J., Possingham H. Setting conservation priorities. The year in ecology and conservation biology, 2009. Ann. N. Y. Acad. Sci. 2009, 1162:237-264.
155. Wilson K.A., Meijaard E., Drummond S., Grantham H.S., Boitani L., Catullo G., Christie L., Dennis R., Dutton I., Falcucci A., Maiorano L., Possingham H.P., Rondinini C., Turner W.R., Venter O., Watts M. Conserving biodiversity in production landscapes. Ecol. Appl. 2010, 20:1721-1732.
156. Wilson K.A., Westphal M.I., Possingham H.P., Elith J. Sensitivity of conservation planning to different approaches to using predicted species distribution data. Biol. Conserv. 2005, 122:99-112.
157. Wintle B.A., Kavanagh R.P., McCarthy M.A., Burgman M.A. Estimating and dealing with detectability in occupancy surveys for forest owls and arboreal marsupials. J. Wildl. Manag. 2005, 69:905-917.